Data Engineering Lead (AI, Analytics & Platform)

• You’ll own Fetch’s data platform end-to-end – from ingestion and modelling to observability, experimentation, and AI evaluation. You’ll work directly with product, pricing, ops, and AI engineers to turn noisy, real-world events into clean, trusted, real-time data that powers decisioning, agents, and automation. • You’ll design the data foundations that make AI safe, measurable, and reliable: datasets, evals, feedback loops, and monitoring that keep our agents honest. • 🧱 Build and own Fetch’s entire data stack – ingestion, pipelines, warehouse, observability • 🤖 Partner with AI engineers to productionise agents and models with clear metrics, feedback loops, and evaluation frameworks • ⚡️ Make data flow in real-time across pricing, product, claims, ops, and AI • 🔁 Automate everything – alerts, tests, and fail-safes so nothing breaks silently • 📊 Enable smarter pricing, sharper decisions, and clearer insight across the business • 🤝 Partner with engineering and AI teams to productionise data-driven features • What you’ll build • High-quality data ingestion & modelling: Clean, well-documented pipelines from product, vet systems, claims, support, and external partners into consistent models that everyone can trust • High-quality data ingestion & modelling: • Real-time data flows: Event-driven pipelines that power pricing decisions, fraud checks, risk models, and operational dashboards in minutes, not days • Real-time data flows: • Analytics-ready warehouse: A robust warehouse (e.g. BigQuery) with clear, tested dbt models that make it easy for teams to self-serve, explore, and experiment • Analytics-ready warehouse: • Agent & AI evaluation loops: Datasets, labels, and evaluation pipelines to measure and improve AI agents (e.g. support, risk, health) – including offline evals, guardrail checks, and online performance tracking • Agent & AI evaluation loops: • Feedback & human-in-the-loop workflows: Data-driven feedback loops to capture human overrides, corrections, and edge cases – turning them into training and eval data • Feedback & human-in-the-loop workflows: • Monitoring & observability: End-to-end data observability – schema change detection, freshness checks, anomaly alerts, and clear runbooks so data issues are caught before they hit stakeholders • Monitoring & observability: • Automation & workflows: Data-driven jobs that trigger notifications, workflows, and AI features – with strong audit trails and safe rollback paths • Automation & workflows: • You hate missing data, broken pipelines, or dashboards that don’t reflect reality. You build obsessively clean, reliable systems, automate relentlessly, and spot problems before they break. • You move fast, go deep, hold a high bar for quality, and never wait to be asked. You’re sharp, direct, and care deeply about doing great work. • 5+ years building and maintaining data platforms or analytics engineering stacks at scale • Strong with Python and SQL, and comfortable with dbt, modern warehouses, and event-driven data • Python and SQL • Experience designing reliable batch and/or streaming pipelines with strong observability and testing • reliable batch and/or streaming pipelines • Pragmatic builder – you know when to ship a simple solution and when to invest in scalable architecture • You care about product: you like to understand the business problem, challenge requirements, and push for outcomes over output • Obsessed with data quality, trustworthiness, and clear definitions (metrics, contracts, schemas) • data quality, trustworthiness, and clear definitions • Clear communicator, effective collaborator across engineering, product, ops, and leadership • Bonus – experience designing evaluation frameworks for AI/LLM systems (offline evals, golden sets, regression tests, monitoring) • evaluation frameworks for AI/LLM systems • Bonus – experience supporting AI agents or ML products (feature engineering, feedback loops, human-in-the-loop systems) • AI agents or ML products • Bonus – experience in insurance, healthcare/veterinary, fintech, or other regulated environments • insurance, healthcare/veterinary, fintech, or other regulated environments • What it’s like here • We’re ambitious, collaborative, and genuinely enjoy building together. The Fetch team is smart, thoughtful, and kind – low ego, open, caring, and always supportive. • 🧠 You’ll be involved early in strategy. You’re encouraged to give your opinion and debate with founders and the rest of the team • 🤪 Weird is welcome. We value unexpected perspectives and people who think differently, so just be you • 🤖 Unlimited AI tooling – no token limits or approvals needed. Just try things • 🩷 Work on a product genuinely loved by thousands of pets and pet parents • 🚀 We’re growing FAST. It’s an exciting time to join and you’ll directly shape how data powers our products and decisions • 📈 Competitive Series A salary + meaningful equity • 🏠 Hybrid working (3 days Sydney office, flexible WFH) • 💻 Latest MacBook Pro and a top setup • ✈️ Two team retreats each year (Blue Mountains, SXSW, Singapore) • 🐶 Office dogs for cuddles and interruptions • 🍫 Bean to cup coffee machine, unlimited fruit and snacks. Toblerone on-tap